In the age of digital transformation, where technology reigns supreme and automation is the buzzword of the day, it’s easy for organizations to prioritize the latest tools and platforms while overlooking the essential role that people play in the success of automation initiatives. While technology undoubtedly drives efficiency and innovation, it’s the human element that can truly unlock the full potential of automation.

In the ever-evolving landscape of software development, testing plays a crucial role in ensuring the quality, reliability, and performance of applications. As technology continues to advance, the future of testing is deeply intertwined with automation, offering immense potential for improving efficiency, speed, and accuracy in the testing process.

There is no getting away from it, automation can be complicated. First, it is working out where to start, and it isn’t as simple as installing an application or signing up to a service and configuring it once. Automation is a journey not made easier by the drive for AI (check out this webinar on Automation & AI), which will aid productivity but could actually increase manual work performed today by surfacing more insights that need to be manually addressed.

Organizations in the 21st century are growing at a staggering rate, expanding their operations over a global network and dealing with more data than ever before. These widespread operations and processes also mean that there are infinitely more possibilities for businesses to run into problems, have an incident occur, and have to deal with the resulting consequences.

After watching part one and part two of our FinOps Automation Series, hopefully you’re chomping at the bit to adopt your first automation solution. In part three below, our experts — Erik Peterson (CTO and Founder of CloudZero), Alan Hand (Founder and CEO of Xosphere), Steven O’Dwyer (Senior FinOps Specialist at ProsperOps), and Mike Fuller (CTO of the FinOps Foundation) — are going to walk you through what you need to know before you take any concrete steps.

The motivation behind automating Kubernetes deployments stems from the need to accelerate development cycles, minimize manual errors, and achieve consistent deployments. In today’s application development where container orchestration is a crucial aspect, automating the Kubernetes deployment is inevitable. Despite challenges such as maintaining security and handling complex dependencies, automation remains a powerful solution.

Do you maintain multiple policy sets? Do you leverage policy written by others? Ever wished for an easier way to upgrade your policy framework? cfbs can help to improve all of these cases.

So, you think you want to migrate OS (AKA operating systems)? In (most) everyone’s life there comes a time where you look toward migrating to another operating system. There are a variety of reasons why — take for instance the recent trouble with CentOS and RedHat. This process change has broadened adoption of new Enterprise Linux variants like Rocky, Alma Linux, or even Ubuntu.

Today many of your cloud solutions will be connected to a private network within Microsoft Azure for purposes like: An Azure virtual network can support a number of different IaaS, PaaS or SaaS resources being connected to it to support your growing cloud network estate.

In the software development landscape, mastering test automation has become crucial for ensuring efficient quality assurance (QA) processes. Test automation not only accelerates testing cycles but also enhances test coverage and accuracy, leading to higher-quality software releases. This blog explores key strategies for mastering test automation and achieving efficient QA outcomes.